Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli

Bitzer S, Park H, Maess B, von Kriegstein K, Kiebel SJ (2020)
Frontiers in Human Neuroscience 14: 9.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
OA 2.06 MB
Autor*in
Bitzer, Sebastian; Park, HameUniBi; Maess, Burkhard; von Kriegstein, Katharina; Kiebel, Stefan J.
Abstract / Bemerkung
In perceptual decision making the brain extracts and accumulates decision evidence from a stimulus over time and eventually makes a decision based on the accumulated evidence. Several characteristics of this process have been observed in human electrophysiological experiments, especially an average build-up of motor-related signals supposedly reflecting accumulated evidence, when averaged across trials. Another recently established approach to investigate the representation of decision evidence in brain signals is to correlate the within-trial fluctuations of decision evidence with the measured signals. We here report results of this approach for a two-alternative forced choice reaction time experiment measured using magnetoencephalography (MEG) recordings. Our results show: (1) that decision evidence is most strongly represented in the MEG signals in three consecutive phases and (2) that posterior cingulate cortex is involved most consistently, among all brain areas, in all three of the identified phases. As most previous work on perceptual decision making in the brain has focused on parietal and motor areas, our findings therefore suggest that the role of the posterior cingulate cortex in perceptual decision making may be currently underestimated.
Erscheinungsjahr
2020
Zeitschriftentitel
Frontiers in Human Neuroscience
Band
14
Art.-Nr.
9
ISSN
1662-5161
eISSN
1662-5161
Finanzierungs-Informationen
Open-Access-Publikationskosten wurden durch die Deutsche Forschungsgemeinschaft und die Universität Bielefeld gefördert.
Page URI
https://pub.uni-bielefeld.de/record/2941322

Zitieren

Bitzer S, Park H, Maess B, von Kriegstein K, Kiebel SJ. Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli. Frontiers in Human Neuroscience. 2020;14: 9.
Bitzer, S., Park, H., Maess, B., von Kriegstein, K., & Kiebel, S. J. (2020). Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli. Frontiers in Human Neuroscience, 14, 9. doi:10.3389/fnhum.2020.00009
Bitzer, Sebastian, Park, Hame, Maess, Burkhard, von Kriegstein, Katharina, and Kiebel, Stefan J. 2020. “Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli”. Frontiers in Human Neuroscience 14: 9.
Bitzer, S., Park, H., Maess, B., von Kriegstein, K., and Kiebel, S. J. (2020). Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli. Frontiers in Human Neuroscience 14:9.
Bitzer, S., et al., 2020. Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli. Frontiers in Human Neuroscience, 14: 9.
S. Bitzer, et al., “Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli”, Frontiers in Human Neuroscience, vol. 14, 2020, : 9.
Bitzer, S., Park, H., Maess, B., von Kriegstein, K., Kiebel, S.J.: Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli. Frontiers in Human Neuroscience. 14, : 9 (2020).
Bitzer, Sebastian, Park, Hame, Maess, Burkhard, von Kriegstein, Katharina, and Kiebel, Stefan J. “Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli”. Frontiers in Human Neuroscience 14 (2020): 9.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2020-02-18T13:59:36Z
MD5 Prüfsumme
9894769f3c62b9ecd1913faa29993ee7


Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Quellen

PMID: 32116600
PubMed | Europe PMC

Suchen in

Google Scholar